Abstract
History matching is an important issue in modern reservoir engineering to predict production performance, and the complex non-linear inverse problem one essential topic in reservoir modelling. This work focuses on a history matching problem of non-stationary reservoir models. We propose a novel methodology to link a geostatistical simulation algorithm, namely Direct Sequential Simulation using Local Anisotropy correction with stochastic sampling optimisation methods, specifically the Neighbourhood Approximation Algorithm. This work is based on the approach of simulation of fluvial deltaic depositional structures with locally varying the search
ellipsoid parameters. The object of study considered was a non-stationary structure (delta front), from Stanford VI – a synthetic petroleum reservoir with fluvial characteristics.
ellipsoid parameters. The object of study considered was a non-stationary structure (delta front), from Stanford VI – a synthetic petroleum reservoir with fluvial characteristics.
Original language | English |
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Pages | 1-15 |
Number of pages | 15 |
DOIs | |
Publication status | Published - Sept 2011 |
Event | IAMG 2011 Conference - Salzburg, Austria Duration: 5 Sept 2011 → 9 Sept 2011 |
Conference
Conference | IAMG 2011 Conference |
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Country/Territory | Austria |
City | Salzburg |
Period | 5/09/11 → 9/09/11 |